I-Fang Chung

Artificial Intelligence · 2003–2008

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Molecular Biology — 5 citations into it

Whom I-Fang Chung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vladimir Naumovich Vapni
2. Vladimir Naumovich Vapnik
3. Uwe Hobohm
4. Pierre Baldi
5. Chris H. Q. Ding
6. Tommi S. Jaakkola
7. Tim J. P. Hubbard
8. Christopher Sander
9. Søren Brunak
10. Inna Dubchak

Papers from I-Fang Chung's perspective

Ordered by how strongly the researchers I-Fang Chung trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Enlarged representative set of protein structures
8. Attention is All you Need (Neural Information Processing Systems)
9. The Nature of Statistical Learning
10. Long Short-Term Memory

Their papers

• Overview of BioCreative II gene mention recognition (2008) — 541 citations
• Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture (2003) — 49 citations